iPhone 15 Pro Max
Geekbench ML Score
5919
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 09:13 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1429
267.4 IPS |
|
|
Image Classification (F16)
|
100% |
6193
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6801
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1406
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1731
28.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1769
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14679
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
82581
100.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
86011
104.2 IPS |
|
|
Object Detection (F32)
|
100% |
1609
120.1 IPS |
|
|
Object Detection (F16)
|
100% |
3896
290.9 IPS |
|
|
Object Detection (I8)
|
97% |
1512
112.9 IPS |
|
|
Face Detection (F32)
|
100% |
6430
76.4 IPS |
|
|
Face Detection (F16)
|
97% |
10567
125.6 IPS |
|
|
Face Detection (I8)
|
96% |
10589
125.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12271
95.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37061
287.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
37898
293.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27840
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
121755
160.2 IPS |
|
|
Style Transfer (I8)
|
100% |
123235
162.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6986
249.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17990
642.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17329
618.9 IPS |
|
|
Text Classification (F32)
|
100% |
444
638.0 IPS |
|
|
Text Classification (F16)
|
100% |
491
705.5 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.0 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1558
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
673
12.4 IPS |
